MRI Denoising using Non Local Means

Magnetic Resonance (MR) images are affected by random noise which limits the accuracy of any quantitative measurements from the data. We have analyzed and adapted a recently proposed filter for random noise removal in MR magnitude images. This parametric filter, named Non-Local Means (NLM), is highly dependent on the setting of its parameters. We have experimentally found the optimal parameter selection for MR magnitude image denoising. Besides, the filter has been adapted to fit with specific characteristics of the noise in MR image magnitude images (i.e. Rician noise). From the results over synthetic and real images we think that this filter can be successfully used for automatic MR denoising.

Details can be found in:
  1. José V. Manjón, José Carbonell-Caballero, Juan J. Lull, Gracián García-Martí, Luís Martí-Bonmatí, Montserrat Robles. MRI denoising using Non Local Means. Medical Image Analysis, Medical Image Analysis, 12(4):514-23, 2008. 

Figure 1: Example UNLM denoising.

Demo images and the source code of the method can be found here.       

We'd like to know who is using the code, so we would appreciate it if you would provide us with the following information: